Papers
ADMM without a Fixed Penalty Parameter: Faster Convergence with New Adaptive Penalization
Yi Xu, Mingrui Liu, Qihang Lin et al.
Approximation Algorithms for ℓ_0-Low Rank Approximation
Karl Bringmann, Pavel Kolev, David Woodruff
Deep Supervised Discrete Hashing
Qi Li, Zhenan Sun, Ran He et al.
QMDP-Net: Deep Learning for Planning under Partial Observability
Peter Karkus, David Hsu, Wee Sun Lee
Multiplicative Weights Update with Constant Step-Size in Congestion Games: Convergence, Limit Cycles and Chaos
Gerasimos Palaiopanos, Ioannis Panageas, Georgios Piliouras
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference
Geoffrey Roeder, Yuhuai Wu, David K. Duvenaud
Hierarchical Clustering Beyond the Worst-Case
Vincent Cohen-Addad, Varun Kanade, Frederik Mallmann-Trenn
Incorporating Side Information by Adaptive Convolution
Di Kang, Debarun Dhar, Antoni Chan
Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi
Scalable Variational Inference for Dynamical Systems
Nico S Gorbach, Stefan Bauer, Joachim M Buhmann
Consistent Robust Regression
Kush Bhatia, Prateek Jain, Parameswaran Kamalaruban et al.
Compatible Reward Inverse Reinforcement Learning
Alberto Maria Metelli, Matteo Pirotta, Marcello Restelli
From Bayesian Sparsity to Gated Recurrent Nets
Hao He, Bo Xin, Satoshi Ikehata et al.
Polynomial Codes: an Optimal Design for High-Dimensional Coded Matrix Multiplication
Qian Yu, Mohammad Maddah-Ali, Salman Avestimehr
Stochastic Mirror Descent in Variationally Coherent Optimization Problems
Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos et al.
A simple neural network module for relational reasoning
Adam Santoro, David Raposo, David G Barrett et al.
Multitask Spectral Learning of Weighted Automata
Guillaume Rabusseau, Borja Balle, Joelle Pineau
Beyond Parity: Fairness Objectives for Collaborative Filtering
Sirui Yao, Bert Huang
Dual Discriminator Generative Adversarial Nets
Tu Nguyen, Trung Le, Hung Vu et al.
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
Yunbo Wang, Mingsheng Long, Jianmin Wang et al.
Fast-Slow Recurrent Neural Networks
Asier Mujika, Florian Meier, Angelika Steger
Robust Estimation of Neural Signals in Calcium Imaging
Hakan Inan, Murat A Erdogdu, Mark Schnitzer
Deep Subspace Clustering Networks
Pan Ji, Tong Zhang, Hongdong Li et al.
Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding
Wenbing Huang, Mehrtash Harandi, Tong Zhang et al.